Search Results - "sensor"
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The Future Internet Future Internet Assembly 2013: Validated Results and New Horizons /
Published 2013Table of Contents: “…Software Driven Networks, Virtualisation, Programmability and Autonomic Management -- Towards a Socially-Aware Management of New Overlay Application Traffic Combined with Energy Efficiency in the Internet (SmartenIT) -- The NEBULA Future Internet Architecture -- Open the Way to Future Networks - A Viewpoint Framework from ITU-T -- Towards a Minimal Core for Information-Centric Networking -- Managing QoS for Future Internet Applications over Virtual Sensor Networks -- High Availability in the Future Internet -- Integrating OpenFlow in IMS Networks and Enabling for Future Internet Research and Experimentation -- Computing and Networking Clouds Contrail: Distributed Application Deployment under SLA in Federated Heterogeneous Clouds -- Cloud-Based Evaluation Framework for Big Data -- Optimizing Service Ecosystems in the Cloud -- Resource Optimisation in IoT Cloud Systems by Using Matchmaking and Self-management Principles -- Towards a Secure Network Virtualization Architecture for the Future Internet -- Seeding the Cloud: An Innovative Approach to Grow Trust in Cloud Based Infrastructures -- Internet of Things -- IoT6 - Moving to an IPv6-Based Future IoT -- SmartSantander: Internet of Things Research and Innovation through Citizen Participation -- A Cognitive Management Framework for Empowering the Internet of Things -- Building Modular Middlewares for the Internet of Things with OSGi -- Towards an Architecture for Future Internet Applications -- ComVantage: Mobile Enterprise Collaboration Reference Framework and Enablers for Future Internet Information Interoperability -- Test-Enabled Architecture for IoT Service Creation and Provisioning -- Enabling Technologies and Economic Incentives Sustainable Wireless Broadband Access to the Future Internet -- The EARTH Project -- An Internet-Based Architecture Supporting Ubiquitous Application User Interfaces -- Cooperative Strategies for Power Saving in Multi-standard Wireless Devices -- Counting the Cost of FIRE: Overcoming Barriers to Sustainable Experimentation Facilities -- User Involvement in Future Internet Projects -- Design and Implementation of Cooperative Network Connectivity Proxy Using Universal Plug and Play -- Book Sponsoring Projects Overview 3DLife - Bringing the Media Internet to Life -- CONCORD Project Management of the Future Internet -- FLAMINGO NoE Project Management of the Future Internet -- The GEYSERS Concept and Major Outcomes -- iCore: A Cognitive Management Framework for the Internet of Things -- IoT6 Project in a Nutshell -- Mobile Cloud Networking: Mobile Network, Compute, and Storage as One Service On-Demand -- The SmartenIT STREP Project: Socially-Aware Management of New Overlay Application Traffic Combined with Energy Efficiency in the Internet -- The SmartSantander Project -- UniverSelf, Realizing Autonomics for Future Networks.…”
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Artificial Intelligence Oceanography
Published 2023Table of Contents: “…Theory and technology of artificial intelligence for oceanography -- Satellite data-driven internal wave forecast model based on machine learning techniques -- Detection and analysis of marine macroalgae based on artificial intelligence -- Tropical cyclone intensity estimation from geostationary satellite imagery -- Reconstructing marine environmental data based on deep learning -- Detecting oceanic processes from space-borne sar imagery using machine learning -- Deep convolutional neural networks-based coastal inundation mapping for un-defined least developed countries: taking madagascar and mozambique as examples -- Ai- based mesoscale eddy study -- Classifying sea ice types from sar images based on deep fully convolutional networks -- Detecting ships and extracting ship's size from SAR images based on deep learning -- Quality control of ocean temperature and salinity data based on machine learning technology -- automatic extraction of internal wave signature from multiple satellite sensors based on deep convolutional neural networks -- Automatic extraction of waterlines from large-scale tidal flats on SAR images and applications based on deep convolutional neural networks -- Forecast of tropical instability waves using deep learning -- Sea surface height prediction based on artificial intelligence.…”
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Machine Learning for Brain Disorders
Published 2023Table of Contents: “…A Non-Technical Introduction to Machine Learning -- Classic Machine Learning Methods -- Deep Learning: Basics and Convolutional Neural Networks (CNN) -- Recurrent Neural Networks (RNN) - Architectures, Training Tricks, and Introduction to Influential Research -- Generative Adversarial Networks and Other Generative Models -- Transformers and Visual Transformers -- Clinical Assessment of Brain Disorders -- Neuroimaging in Machine Learning for Brain Disorders -- Electroencephalography and Magnetoencephalography -- Working with Omics Data, An Interdisciplinary Challenge at the Crossroads of Biology and Computer Science -- Electronic Health Records as Source of Research Data -- Mobile Devices, Connected Objects, and Sensors -- Medical Image Segmentation using Deep Learning -- Image Registration: Fundamentals and Recent Advances Based on Deep Learning -- Computer-Aided Diagnosis and Prediction in Brain Disorders -- Subtyping Brain Diseases from Imaging Data -- Data-Driven Disease Progression Modelling -- Computational Pathology for Brain Disorders -- Integration of Multimodal Data -- Evaluating Machine Learning Models and their Diagnostic Value -- Reproducibility in Machine Learning for Medical Imaging -- Interpretability of Machine Learning Methods Applied to Neuroimaging -- A Regulatory Science Perspective on Performance Assessment of Machine Learning Algorithms in Imaging -- Main Existing Datasets for Open Brain Research on Humans -- Machine Learning for Alzheimer's Disease and Related Dementias -- Machine Learning for Parkinson's Disease and Related Disorders -- Machine Learning in Neuroimaging of Epilepsy -- Machine Learning in Multiple Sclerosis -- Machine Learning for Cerebrovascular Disorders -- The Role of Artificial Intelligence in Neuro-Oncology Imaging -- Machine Learning for Neurodevelopmental Disorders -- Machine Learning and BrainImaging for Psychiatric Disorders: New Perspectives.…”
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